Duanpen TheerawanviwatPimchanok Puthkhao2024-04-232024-04-232020b212174https://repository.nida.ac.th/handle/662723737/6835Thesis (Ph.D (Applied Statistics))--National Institute of Development Administration, 2020This dissertation aimed to compare the socioeconomic and health-related characteristics of stroke and non-stroke deaths and to determine the factors affecting stroke mortality, with non-stroke death considered as a competing risk. Secondary data with a 10-12 years follow-up period from the Thai Epidemiologic Stroke (TES) Study were used. The Thai Epidemiologic Stroke (TES) Study is a prospective community-based cohort study that recruited participants from the general population from five Thai regions. Between 2004 and 2006, 19,620 participants aged 45-80 years, free of stroke, participated in the baseline survey. The participants were followed up for mortality from the survey date until the date of death or the end of follow-up of December 31, 2016, whichever came firsts. During a median follow-up time of 11.08 years (202,803 person-years at risk), 305 participants died of a stroke (1.55% of total participants and accounted for 8.76% of total deaths), and 3,176 participants died of non-stroke cause (16.19% of total participants and 91.24% of total deaths). Stroke mortality was 150.39/100,000 (95% confidence interval [95% CI], 134.43-168.25/100,000) personyears, and the non-stroke mortality was 1,566.05/100,000 (95% CI, 1,512.52- 1,621.47/100,000) person-years. Multivariate cause-specific Cox regression and Fine-Gray competing risk regression analyses were used to identify the factors affecting stroke mortality, with non-stroke mortality considered as a competing event. Cause-specific hazard ratios (HR) and the Subdistribution hazard ratio (SHR) with their 95% confidence intervals (CI) were used to illustrate the associations.91 leavesapplication/pdfengThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.MortalityStroke -- epidemiologytext::thesis::doctoral thesis10.14457/NIDA.the.2020.159